Aug 8 – 13, 2022
Hörsaalzentrum Poppelsdorf
Europe/Berlin timezone

Exploring the phase structure of the multi-flavor Schwinger model with quantum computing

Aug 9, 2022, 2:20 PM
CP1-HSZ/1.004 (CP1-HSZ) - HS7 (CP1-HSZ)

CP1-HSZ/1.004 (CP1-HSZ) - HS7


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Oral Presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms


Stefan Kühn


We propose a variational quantum eigensolver suitable for exploring the phase structure of the multi-flavor Schwinger model in the presence of a chemical potential. The parametric ansatz we design incorporates the symmetries of the model and can be implemented on both measurement-based and circuit-based quantum hardware. We numerically demonstrate that our ansatz is able to capture the phase structure of the model and allows for faithfully approximating the ground state. Our results show that our approach is suitable for current intermediate-scale quantum hardware and can be readily implemented on existing quantum devices.

Primary authors

Joachim von Zanthier (Friedrich-Alexander-Universität Erlangen-Nürnberg) Karl Jansen (DESY) Lena Funcke (MIT) Marc-Oliver Pleinert (Friedrich-Alexander-Universität Erlangen-Nürnberg) Stefan Kühn Stephan Schuster (Friedrich-Alexander-Universität Erlangen-Nürnberg) Tobias Hartung (Department of Mathematical Sciences, University of Bath)

Presentation materials